Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance
Marketing & Professional Sales
Wold's (1982, 1974) and Lohmöller's (1989) partial least squares structural equation modeling (PLS-SEM) approach has enjoyed increasing popularity as a key multivariate analysis method in various research disciplines such as accounting (Lee et al., 2011), international marketing (Henseler et al., 2009), management information systems (Ringle et al., 2012), marketing (Hair et al., 2012c) and operations management (Peng and Lai, 2012). Similarly, strategic management research has recognized PLS-SEM's flexibility regarding the handling of various modeling problems (e.g., Hulland, 1999). However, according to Hair et al.'s. (2012b) recent review of PLS-SEM use in the strategic management field, the method's dissemination is not as widespread as in other fields.
Long Range Planning
Digital Object Identifier (DOI)
Hair, Joseph F. and Ringle, Christian M. and Sarstedt, Marko, Editorial - Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance (March 14, 2013). Long Range Planning, Volume 46, Issues 1-2, pp. 1-12. Available at SSRN: http://ssrn.com/abstract=2233795